homework12

codewarrior使用指南.Guide to the use of codewarrior.(Guide to the use of codewarrior.rar)

Buck变换器是最常用的变换器，工程上常用的拓扑如正激、半桥、全桥、推挽等也属于Buck族，其中Buck变换器补偿网络设计，是开关电源的重要研究课题，本文将针对基于PI控制方式的4A开关电源进行设计和Multisim的仿真研究。(Buck converter is the most commonly used converter on the topology of the project, such as forward, half bridge, full bridge, push-pull, the Buck family, Buck Converter compensation network design is an important research topic of the switching power supply, this paper4A-based PI control switching power supply design and Multisim simulation study)

matlab中用于信号处理的工具箱，可添加到其toolbox中，并在Matlab中设置路径，便可以在Matlab中调用。(used matlab signal processing toolbox, can add to their toolbox, and set in the Matlab path, they can call in Matlab.)

天线方向图的波达方向，用于描述回波的方向图3，可以用于初学者学习使用(DOA antenna pattern, used to describe the echo pattern 3, can be used for beginners to learn to use)

说明：  antenna degign fractal

GUI库飞信，精选ios编程学习源码，很好的参考资料。(GUI Fetion, selection of learning IOS programming source code, a good reference.)

This book is an introduction to two subjects: Matlab and numerical computing. This ¯ rst chapter introduces Matlab by presenting several programs that inves- tigate elementary, but interesting, mathematical problems. If you already have some experience programming in another language, we hope that you can see how Matlab works by simply studying these programs.

i m trying to modified Joseph Kirk work on TSP GA here but failed miserably. Trying to modify the operators from using mutation to crossover. Then try to implement it using the map toolbox and input city coordinates, but also fail. Help me please someone.. i m so new to this stuff and nobody s there to teach me. My head feels like exploding trying to do this. Anyone that understand how to, help me please...

说明：  这是单相mmc最近电平调制的matlab simlink仿真(This is a simlink simulation of single-phase mmc recent level modulation)

说明：  BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets.[1] An advantage of BIRCH is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, BIRCH only requires a single scan of the database.